US20060276215A1 - Method of allocating power over channels of a communication system - Google Patents
Method of allocating power over channels of a communication system Download PDFInfo
- Publication number
- US20060276215A1 US20060276215A1 US11/141,065 US14106505A US2006276215A1 US 20060276215 A1 US20060276215 A1 US 20060276215A1 US 14106505 A US14106505 A US 14106505A US 2006276215 A1 US2006276215 A1 US 2006276215A1
- Authority
- US
- United States
- Prior art keywords
- channel
- channels
- estimated
- strength
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/30—TPC using constraints in the total amount of available transmission power
- H04W52/34—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading
- H04W52/346—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading distributing total power among users or channels
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2602—Signal structure
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/245—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account received signal strength
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
- H04L27/2601—Multicarrier modulation systems
- H04L27/2602—Signal structure
- H04L27/26035—Maintenance of orthogonality, e.g. for signals exchanged between cells or users, or by using covering codes or sequences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
Definitions
- the present invention related to communication, and provides methods for allocating transmission power over channels.
- a particularly enticing one is the maximization of the sum mutual information, which specifies the largest data rate per unit bandwidth that can be conveyed with arbitrary reliability.
- the noise impairing the communication is Gaussian
- the mutual information is maximized if the transmitted signals are also Gaussian and the power is allocated over the available orthogonal channels according to the well-known waterfill policy.
- Gaussian signals can never be realized in practice because of their infinite and continuous support. Rather, in actual communication systems the signals are modulated using discrete constellations. No solution is known for the power allocation over parallel channels that maximizes the mutual information when the transmitted signals are not Gaussian, and the waterfill policy is often invoked for non-Gaussian signals even though it is no longer optimal in that case.
- the present invention related to communication, and provides methods for allocating transmission power over parallel channels.
- the power for transmitting a signal over at least one of a plurality of channels is allocated based on a channel strength threshold and an estimated channel strength for the at least one channel.
- the channel strength threshold is based on the estimated channel strengths for the plurality of channels.
- the allocating step allocates power over each of the plurality of channels, and for each channel, the allocating step allocates power based on the channel threshold and the estimated channel strengths for the channels.
- the plurality of channels may be non-interacting parallel channels, and the signals transmitted over at least a portion of the channels may be non-Gaussian.
- the channel strength threshold may be calculated based on the estimated channel strengths for the plurality of channels and an average power available for transmission over the plurality of channels. In another embodiment, the channel strength threshold may be accessed from a memory.
- the estimated channel strength for at least one channel is a normalized representation of a signal-to-noise ratio on the channel.
- the allocating step allocates zero power to a channel in the plurality of channels if the estimated channel strength associated with the channel is less than or equal to the channel strength threshold.
- the allocating step allocates a non-zero power to a channel in the plurality of channels based on the estimated channel strength for the channel if the estimated channel strength for the channel is greater than the channel strength threshold.
- powers are allocated to a plurality of parallel non-interacting channels such that summutual information over the parallel non-interacting channels is maximized.
- FIG. 1 illustrates a graphical representation of n parallel non-interacting channels
- FIG. 2 illustrates an example apparatus embodiment implementing an embodiment of the method for allocating powers according to the present invention.
- the noise is zero-mean and Gaussian with variance: E[
- 2 ] ⁇ j 2 (2)
- the input x j has arbitrary distribution with power: E[
- 2 ] p j (3) where E[ ⁇ ] is the expected value, and p j is the power at which the transmitted signal x j is transmitted over the channel.
- the signal-to-noise ratio at the output of the j-th channel is given by p j ⁇ j .
- coherent communication where the complex channel gains h 1 , . . . , h n are estimated and tracked by the receiver, for example, through the transmission of known pilot symbols, is assumed.
- a determination is made for the set of powers p 1 , p 2 , . . . , p n such that the aggregate mutual information is satisfied subject to the constraint: 1 n ⁇ ⁇ l 1 n ⁇ p l ⁇ P avg ( 7 ) where P avg is the average power available for transmission (determined by design parameters such as the size of the amplifiers, the batteries or power supply, etc. known in the art).
- MMSE j ( p j ⁇ j ) E[
- ⁇ is a channel strength threshold having a value such that equation (7) is satisfied with strict equality.
- the set of powers satisfying these conditions maximizes the aggregate mutual information over the n channels.
- the gain h j and variance ⁇ j for each received signal y j are estimated according to any well-known process. For example, techniques for estimating these values based on the pilot symbols in the received signal y j are very well-known and in use today.
- the strength is estimated using the gain h j and the variance ⁇ j according to equation (6).
- the channel strength threshold ⁇ is determined according to equation (12).
- the powers p j are then allocated according to equation (11). The allocated powers are then fed back to the transmitter.
- FIG. 2 illustrates an example apparatus embodiment implementing this embodiment of the method for allocating powers according to the present invention.
- data parsers 10 parse the pilot signals from the respectively received signals y 1 . . . y n , and send the pilot signals to respective channel strength estimators 12 .
- the channel strength estimators 12 estimate the respective gain h j and variance ⁇ j of the channel over which the signal was received, and estimate the channel strength according to equation (6).
- Each of the channel strength estimates ⁇ j are fed to a power allocator 14 , which also stores the average power available for transmitting over the channels.
- the power allocator 14 determines the channel strength threshold ⁇ according to equation (12), and then performs the power allocation according to equation (11).
- FIG. 2 also shows that the parsers 10 parse out the payload data from the received signals to respective receiver elements 16 for generating output.
- the elements of FIG. 2 may be implemented as a CPU, ASIC, FPGA, etc., or combination thereof at the receiver.
- the gain and variance values may be fed back to the transmitter, and the transmitter may perform the remainder of the embodiment for allocating powers.
- the estimated channel strengths may be fed back, and the transmitter may perform the remainder of the embodiment for allocating powers.
- the power allocation method according to the present invention applies to a wide range of communication problems. These include, but are not limited to:
Abstract
Description
- 1. Field of the Invention
- The present invention related to communication, and provides methods for allocating transmission power over channels.
- 2. Description of Related Art
- A problem often encountered in communication, either wireline or wireless, is that of allocating power over a set of parallel non-interacting channels sharing a common transmitter.
- Although diverse criteria can be used in order to decide which fraction of the available power is allocated to each of the channels, a particularly enticing one is the maximization of the sum mutual information, which specifies the largest data rate per unit bandwidth that can be conveyed with arbitrary reliability. In the case that the noise impairing the communication is Gaussian, the mutual information is maximized if the transmitted signals are also Gaussian and the power is allocated over the available orthogonal channels according to the well-known waterfill policy.
- Despite their optimality, however, Gaussian signals can never be realized in practice because of their infinite and continuous support. Rather, in actual communication systems the signals are modulated using discrete constellations. No solution is known for the power allocation over parallel channels that maximizes the mutual information when the transmitted signals are not Gaussian, and the waterfill policy is often invoked for non-Gaussian signals even though it is no longer optimal in that case.
- The present invention related to communication, and provides methods for allocating transmission power over parallel channels.
- In one embodiment, the power for transmitting a signal over at least one of a plurality of channels is allocated based on a channel strength threshold and an estimated channel strength for the at least one channel. Here, the channel strength threshold is based on the estimated channel strengths for the plurality of channels.
- In another embodiment, the allocating step allocates power over each of the plurality of channels, and for each channel, the allocating step allocates power based on the channel threshold and the estimated channel strengths for the channels.
- In another embodiment, the plurality of channels may be non-interacting parallel channels, and the signals transmitted over at least a portion of the channels may be non-Gaussian.
- In one embodiment, the channel strength threshold may be calculated based on the estimated channel strengths for the plurality of channels and an average power available for transmission over the plurality of channels. In another embodiment, the channel strength threshold may be accessed from a memory.
- In one embodiment, the estimated channel strength for at least one channel is a normalized representation of a signal-to-noise ratio on the channel.
- In one embodiment, the allocating step allocates zero power to a channel in the plurality of channels if the estimated channel strength associated with the channel is less than or equal to the channel strength threshold.
- In a further embodiment, the allocating step allocates a non-zero power to a channel in the plurality of channels based on the estimated channel strength for the channel if the estimated channel strength for the channel is greater than the channel strength threshold.
- In yet a further embodiment, powers are allocated to a plurality of parallel non-interacting channels such that summutual information over the parallel non-interacting channels is maximized.
- The present invention will become more fully understood from the detailed description given herein below and the accompanying drawings which are given by way of illustration only, wherein like reference numerals designate corresponding parts in the various drawings, and wherein:
-
FIG. 1 illustrates a graphical representation of n parallel non-interacting channels; and -
FIG. 2 illustrates an example apparatus embodiment implementing an embodiment of the method for allocating powers according to the present invention. - For the purposes of explanation, a framework for explaining the embodiments of the present invention will be initially provided.
- Consider a set of n parallel non-interacting channels as shown in
FIG. 1 . On the j-th such channel, the input-output relationship is:
y j =h j x j +v j (1)
where yi represents the received signal, xj represents the transmitted signal, hj is a scalar coefficient that represents the gain of the channel, and vj represents the noise on the channel. The noise is zero-mean and Gaussian with variance:
E[|v j|2]=σj 2 (2)
The input xj has arbitrary distribution with power:
E[|x j|2 ]=p j (3)
where E[·] is the expected value, and pj is the power at which the transmitted signal xj is transmitted over the channel. - Since the n channels are non-interacting, the noise is independent across channels and thus,
E[vjvl*]=0 j≠l (4)
where * denotes the complex conjugate. - The j-th input may be expressed as a unit-power signal sj, whose format defines the corresponding modulation scheme, scaled as:
x j =√{square root over (p j )} s j (5)
For convenience, a normalized representation of the signal-to-noise ratio may be defined for each channel as:
which is a measure or estimate of the strength of that channel. The signal-to-noise ratio at the output of the j-th channel is given by pj γj. For the purposes of explanation only, coherent communication, where the complex channel gains h1, . . . , hn are estimated and tracked by the receiver, for example, through the transmission of known pilot symbols, is assumed. - Given this framework, according to at least one embodiment of the present invention, a determination is made for the set of powers p1, p2, . . . , pn such that the aggregate mutual information is satisfied subject to the constraint:
where Pavg is the average power available for transmission (determined by design parameters such as the size of the amplifiers, the batteries or power supply, etc. known in the art). - Before discussing the determination of the set of powers p1, p2, . . . , pn, the MMMSE (minimum mean-square error) incurred on the estimation of the signals s1, . . . , sn will be described to provide a better understanding of the embodiments of the present invention. The estimate of sj that minimizes the mean-square error is known to be the conditional mean estimator, where the estimate is given by:
ŝ j =E[s j |y j] (8)
which is in general a nonlinear estimator. (It becomes linear in the special case that sj is Gaussian.) The MMSE is then:
MMSE j(p jγj)=E[|s j −ŝ j|2] (9)
which is a function of the product pjγj. - In view of the above, the power allocation methodology according to one embodiment is provided by:
pj=0 γj≦η
γj MMSE j(p jγj)=ηγj>η (10)
where η is a channel strength threshold having a value such that equation (7) is satisfied with strict equality. The set of powers satisfying these conditions maximizes the aggregate mutual information over the n channels. - Denoting by MMSE−1(·) the inverse of MMSE(·) with respect to the composition of functions, equation (10) may be recast as:
with η being a solution to the nonlinear equation: - When implemented, the gain hj and variance σj for each received signal yj are estimated according to any well-known process. For example, techniques for estimating these values based on the pilot symbols in the received signal yj are very well-known and in use today. For each channel j, the strength is estimated using the gain hj and the variance σj according to equation (6). Using the estimated channel strengths and the average power available for transmission (i.e., Pavg), the channel strength threshold η is determined according to equation (12). Then, the powers pj are then allocated according to equation (11). The allocated powers are then fed back to the transmitter.
-
FIG. 2 illustrates an example apparatus embodiment implementing this embodiment of the method for allocating powers according to the present invention. As shown,data parsers 10 parse the pilot signals from the respectively received signals y1 . . . yn, and send the pilot signals to respectivechannel strength estimators 12. Thechannel strength estimators 12 estimate the respective gain hj and variance σj of the channel over which the signal was received, and estimate the channel strength according to equation (6). Each of the channel strength estimates γj are fed to apower allocator 14, which also stores the average power available for transmitting over the channels. Thepower allocator 14 determines the channel strength threshold η according to equation (12), and then performs the power allocation according to equation (11). Thepower allocator 14 feeds back the power allocations to the transmitter.FIG. 2 also shows that theparsers 10 parse out the payload data from the received signals torespective receiver elements 16 for generating output. As will be appreciated, the elements ofFIG. 2 may be implemented as a CPU, ASIC, FPGA, etc., or combination thereof at the receiver. - In alternative embodiments of the method and apparatus, the gain and variance values may be fed back to the transmitter, and the transmitter may perform the remainder of the embodiment for allocating powers. As yet another alternative, the estimated channel strengths may be fed back, and the transmitter may perform the remainder of the embodiment for allocating powers.
- For n→∞, we can view the set {γj}, ∀j, as realizations of a random variable γ whose distribution describes the statistics of a fading channel. If this channel is stationary and ergodic, then η becomes the solution to:
with the expectation taken over γ. Thus, η depends only on the distribution of the fading channel, on Pavg, and on the format of the inputs. Parameterized by these quantities, η may be pre-computed and stored in memory for retrieval at the time of use. - The power allocation method according to the present invention applies to a wide range of communication problems. These include, but are not limited to:
-
- Multicarrier communication, where transmission takes places over several non-overlapping frequency bands. Each of these bands constitutes a channel. Typically, a sum power constraint is in place.
- OFDM (orthogonal frequency-division multiplexing), where transmission takes places over several overlapping frequency bands. The spectral shape of the transmitted signals is designed such that despite the overlap, these signals are orthogonal and thus remain non-interacting. OFDM is widely used in wireline DSL (digital subscriber line), wireless audio and video broadcast, wireless LANs, etc. Typically, a sum power constraint is in place. If the number of bands is very large, then the model n→∞ may be a useful idealization and the constraint may be put on the average.
- Multi-antenna or MIMO (multiple-input multiple-output) communication, where multiple transmit and multiple receive antennas are employed. If the complex channel gains between these antennas are known by the transmitter, the left singular vectors of the resulting matrix can be used for signaling and the right singular vectors for reception. The result is a set of orthogonal (non-interacting) parallel channels. Usually the sum power is constrained.
- Time-varying channels subject to an average power constraint. When the gain of an individual channel varies over time, it can be seen as an infinite succession of parallel channels where each such channel is a symbol or group of symbols over which the gain remains constant. In this case, the idealization n→∞ may be used with an average power constraint.
- The invention being thus described, it will be obvious that the same may be varied in many ways. Such variations are not to be regarded as a departure from the invention, and all such modifications are intended to be included within the scope of the invention.
Claims (20)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/141,065 US7489944B2 (en) | 2005-06-01 | 2005-06-01 | Method of allocating power over channels of a communication system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/141,065 US7489944B2 (en) | 2005-06-01 | 2005-06-01 | Method of allocating power over channels of a communication system |
Publications (2)
Publication Number | Publication Date |
---|---|
US20060276215A1 true US20060276215A1 (en) | 2006-12-07 |
US7489944B2 US7489944B2 (en) | 2009-02-10 |
Family
ID=37494808
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/141,065 Active 2026-11-23 US7489944B2 (en) | 2005-06-01 | 2005-06-01 | Method of allocating power over channels of a communication system |
Country Status (1)
Country | Link |
---|---|
US (1) | US7489944B2 (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060281421A1 (en) * | 2005-06-14 | 2006-12-14 | Interdigital Technology Corporation | Method and apparatus for generating feedback information for transmit power control in a multiple-input multiple-output wireless communication system |
WO2015023140A1 (en) * | 2013-08-14 | 2015-02-19 | Samsung Electronics Co., Ltd. | Method and apparatus for estimating channel information |
Citations (43)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5937002A (en) * | 1994-07-15 | 1999-08-10 | Telefonaktiebolaget Lm Ericsson | Channel hopping in a radio communication system |
US5982766A (en) * | 1996-04-26 | 1999-11-09 | Telefonaktiebolaget Lm Ericsson | Power control method and system in a TDMA radio communication system |
US6188906B1 (en) * | 1997-12-30 | 2001-02-13 | Samsung Electronics Co., Ltd. | Method for coverage optimization of multi-frequency assignment system |
US6208873B1 (en) * | 1998-11-23 | 2001-03-27 | Qualcomm Incorporated | Method and apparatus for transmitting reverse link power control signals based on the probability that the power control command is in error |
US6314294B1 (en) * | 1996-04-18 | 2001-11-06 | At&T Corp. | Method for self-calibration of a wireless communication system |
US6393276B1 (en) * | 2000-01-12 | 2002-05-21 | Telefonaktiebolaget Lm Ericsson | Mobile station assisted forward link open loop power and rate control in a CDMA system |
US20020181439A1 (en) * | 2000-08-30 | 2002-12-05 | Masayuki Orihashi | Data transmitting apparatus, radio communication system and radio communication method |
US6504868B1 (en) * | 1998-03-13 | 2003-01-07 | Nec Corporation | Adaptive equalizer |
US20030035469A1 (en) * | 2001-08-20 | 2003-02-20 | Frank Colin D. | Linear minimun mean square error equalization with interference cancellation for mobile communication forward links utilizing orthogonal codes covered by long pseudorandom spreading codes |
US20030050084A1 (en) * | 2001-08-20 | 2003-03-13 | Aleksandar Damnjanovic | Reverse link power control in 1xEV-DV systems |
US20030104831A1 (en) * | 2001-11-30 | 2003-06-05 | Javad Razavilar | Method and apparatus for adaptive QoS-based joint rate & power control algorithm in multi-rate wireless systems |
US20030138065A1 (en) * | 2002-01-23 | 2003-07-24 | Mills Diane G. | Power and confidence ordered low complexity soft turbomud with voting system |
US6650912B2 (en) * | 2000-09-18 | 2003-11-18 | Qualcomm, Incorporated | Selecting paging channel mode |
US6795424B1 (en) * | 1998-06-30 | 2004-09-21 | Tellabs Operations, Inc. | Method and apparatus for interference suppression in orthogonal frequency division multiplexed (OFDM) wireless communication systems |
US20040184399A1 (en) * | 2003-03-20 | 2004-09-23 | Rong-Liang Chiou | Channel estimation in OFDM systems |
US20040198404A1 (en) * | 2002-10-02 | 2004-10-07 | Attar Rashid Ahmed | Power allocation for power control bits in a cellular network |
US20050032514A1 (en) * | 2003-08-08 | 2005-02-10 | Sadri Ali S. | Apparatus and associated methods to perform intelligent transmit power control with subcarrier puncturing |
US20050031047A1 (en) * | 2003-08-08 | 2005-02-10 | Maltsev Alexander A. | Adaptive multicarrier wireless communication system, apparatus and associated methods |
US20050043033A1 (en) * | 2003-08-18 | 2005-02-24 | Jean-Aicard Fabien | Power allocation method for multicast services |
US20050075124A1 (en) * | 2002-05-06 | 2005-04-07 | Serge Willenegger | Multi-media broadcast and multicast service (MBMS) in a wireless communication system |
US20050094740A1 (en) * | 2003-10-31 | 2005-05-05 | Nokia Corporation | Multiple-antenna partially coherent constellations for multi-carrier systems |
US20050135295A1 (en) * | 2003-10-15 | 2005-06-23 | Walton Jay R. | High speed media access control and direct link protocol |
US20050135314A1 (en) * | 2003-05-09 | 2005-06-23 | Giannakis Georgios B. | Receiver for chip-interleaved block-spread multi-user communication systems |
US20050141494A1 (en) * | 2002-05-08 | 2005-06-30 | Ari Hottinen | Data transmission method, and system |
US20050197080A1 (en) * | 2004-03-05 | 2005-09-08 | Fatih Ulupinar | Method and apparatus for receive diversity control in wireless communications |
US6944460B2 (en) * | 2001-06-07 | 2005-09-13 | Telefonaktiebolaget L M Ericsson (Publ) | System and method for link adaptation in communication systems |
US6947408B1 (en) * | 1998-04-17 | 2005-09-20 | Telcordia Technologies, Inc. | Wireless internet access system and method |
US20050245278A1 (en) * | 2004-04-29 | 2005-11-03 | Rath Vannithamby | Method and apparatus for forward link power control at non-serving radio sector transmitters |
US20050249159A1 (en) * | 2004-05-07 | 2005-11-10 | Santosh Abraham | Transmission mode and rate selection for a wireless communication system |
US20050286547A1 (en) * | 2004-06-24 | 2005-12-29 | Baum Kevin L | Method and apparatus for accessing a wireless multi-carrier communication system |
US20060052122A1 (en) * | 2002-09-24 | 2006-03-09 | Sanyo Electric Co., Ltd. | Radio device, channel allocation method, and channel, allocation program |
US7035245B2 (en) * | 2001-02-27 | 2006-04-25 | Itt Manufacturing Enterprises, Inc. | Methods and apparatus for multiplexing signal codes via weighted majority logic |
US20060116081A1 (en) * | 2003-02-20 | 2006-06-01 | Shah Dipesh H | Precision for interference estimation in unsynchronized wireless networks |
US20060135073A1 (en) * | 2004-12-20 | 2006-06-22 | Nagabhushan Kurapati | Signaling bit detection with adaptive threshold |
US20060209721A1 (en) * | 2005-03-15 | 2006-09-21 | Qualcomm Incorporated | Interference control in a wireless communication system |
US7145971B2 (en) * | 1996-08-29 | 2006-12-05 | Cisco Technology, Inc. | Spatio-temporal processing for communication |
US7162211B2 (en) * | 2000-09-15 | 2007-01-09 | Qualcomm Incorporated | Methods and apparatus for transmitting information between a basestation and multiple mobile stations |
US7181170B2 (en) * | 2003-12-22 | 2007-02-20 | Motorola Inc. | Apparatus and method for adaptive broadcast transmission |
US20070081582A1 (en) * | 2001-06-01 | 2007-04-12 | The Board Of Trustees Of The Leland Stanford Junior University | Dynamic digital communication system control |
US20070092177A1 (en) * | 2001-10-09 | 2007-04-26 | Infinera Corporation | WAVELENGTH LOCKING AND POWER CONTROL SYSTEMS FOR MULTI-CHANNEL PHOTONIC INTEGRATED CIRCUITS (PICs) |
US7236789B2 (en) * | 2003-02-27 | 2007-06-26 | Lucent Technologies Inc. | Channel rate and physical channel selection in wireless communications networks |
US7277730B2 (en) * | 2002-12-26 | 2007-10-02 | Nokia Corporation | Method of allocating radio resources in telecommunication system, and telecommunication system |
US20070242774A1 (en) * | 1998-09-17 | 2007-10-18 | Cingular Wireless Ii, Llc | Maximum ratio transmission |
-
2005
- 2005-06-01 US US11/141,065 patent/US7489944B2/en active Active
Patent Citations (49)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5937002A (en) * | 1994-07-15 | 1999-08-10 | Telefonaktiebolaget Lm Ericsson | Channel hopping in a radio communication system |
US20030064745A1 (en) * | 1996-04-18 | 2003-04-03 | Mathilde Benveniste | Method for self-calibration of a wireless communication system |
US6314294B1 (en) * | 1996-04-18 | 2001-11-06 | At&T Corp. | Method for self-calibration of a wireless communication system |
US5982766A (en) * | 1996-04-26 | 1999-11-09 | Telefonaktiebolaget Lm Ericsson | Power control method and system in a TDMA radio communication system |
US7145971B2 (en) * | 1996-08-29 | 2006-12-05 | Cisco Technology, Inc. | Spatio-temporal processing for communication |
US6188906B1 (en) * | 1997-12-30 | 2001-02-13 | Samsung Electronics Co., Ltd. | Method for coverage optimization of multi-frequency assignment system |
US6504868B1 (en) * | 1998-03-13 | 2003-01-07 | Nec Corporation | Adaptive equalizer |
US6947408B1 (en) * | 1998-04-17 | 2005-09-20 | Telcordia Technologies, Inc. | Wireless internet access system and method |
US6795424B1 (en) * | 1998-06-30 | 2004-09-21 | Tellabs Operations, Inc. | Method and apparatus for interference suppression in orthogonal frequency division multiplexed (OFDM) wireless communication systems |
US20070242774A1 (en) * | 1998-09-17 | 2007-10-18 | Cingular Wireless Ii, Llc | Maximum ratio transmission |
US6208873B1 (en) * | 1998-11-23 | 2001-03-27 | Qualcomm Incorporated | Method and apparatus for transmitting reverse link power control signals based on the probability that the power control command is in error |
US6393276B1 (en) * | 2000-01-12 | 2002-05-21 | Telefonaktiebolaget Lm Ericsson | Mobile station assisted forward link open loop power and rate control in a CDMA system |
US20020181439A1 (en) * | 2000-08-30 | 2002-12-05 | Masayuki Orihashi | Data transmitting apparatus, radio communication system and radio communication method |
US7162211B2 (en) * | 2000-09-15 | 2007-01-09 | Qualcomm Incorporated | Methods and apparatus for transmitting information between a basestation and multiple mobile stations |
US6650912B2 (en) * | 2000-09-18 | 2003-11-18 | Qualcomm, Incorporated | Selecting paging channel mode |
US7035245B2 (en) * | 2001-02-27 | 2006-04-25 | Itt Manufacturing Enterprises, Inc. | Methods and apparatus for multiplexing signal codes via weighted majority logic |
US20070081582A1 (en) * | 2001-06-01 | 2007-04-12 | The Board Of Trustees Of The Leland Stanford Junior University | Dynamic digital communication system control |
US6944460B2 (en) * | 2001-06-07 | 2005-09-13 | Telefonaktiebolaget L M Ericsson (Publ) | System and method for link adaptation in communication systems |
US6956893B2 (en) * | 2001-08-20 | 2005-10-18 | Motorola, Inc. | Linear minimum mean square error equalization with interference cancellation for mobile communication forward links utilizing orthogonal codes covered by long pseudorandom spreading codes |
US20030035469A1 (en) * | 2001-08-20 | 2003-02-20 | Frank Colin D. | Linear minimun mean square error equalization with interference cancellation for mobile communication forward links utilizing orthogonal codes covered by long pseudorandom spreading codes |
US20030050084A1 (en) * | 2001-08-20 | 2003-03-13 | Aleksandar Damnjanovic | Reverse link power control in 1xEV-DV systems |
US20070092177A1 (en) * | 2001-10-09 | 2007-04-26 | Infinera Corporation | WAVELENGTH LOCKING AND POWER CONTROL SYSTEMS FOR MULTI-CHANNEL PHOTONIC INTEGRATED CIRCUITS (PICs) |
US20030104831A1 (en) * | 2001-11-30 | 2003-06-05 | Javad Razavilar | Method and apparatus for adaptive QoS-based joint rate & power control algorithm in multi-rate wireless systems |
US20030138065A1 (en) * | 2002-01-23 | 2003-07-24 | Mills Diane G. | Power and confidence ordered low complexity soft turbomud with voting system |
US20050075124A1 (en) * | 2002-05-06 | 2005-04-07 | Serge Willenegger | Multi-media broadcast and multicast service (MBMS) in a wireless communication system |
US7177658B2 (en) * | 2002-05-06 | 2007-02-13 | Qualcomm, Incorporated | Multi-media broadcast and multicast service (MBMS) in a wireless communications system |
US20050141494A1 (en) * | 2002-05-08 | 2005-06-30 | Ari Hottinen | Data transmission method, and system |
US20060052122A1 (en) * | 2002-09-24 | 2006-03-09 | Sanyo Electric Co., Ltd. | Radio device, channel allocation method, and channel, allocation program |
US20040198404A1 (en) * | 2002-10-02 | 2004-10-07 | Attar Rashid Ahmed | Power allocation for power control bits in a cellular network |
US7277730B2 (en) * | 2002-12-26 | 2007-10-02 | Nokia Corporation | Method of allocating radio resources in telecommunication system, and telecommunication system |
US20060116081A1 (en) * | 2003-02-20 | 2006-06-01 | Shah Dipesh H | Precision for interference estimation in unsynchronized wireless networks |
US7236789B2 (en) * | 2003-02-27 | 2007-06-26 | Lucent Technologies Inc. | Channel rate and physical channel selection in wireless communications networks |
US20040184399A1 (en) * | 2003-03-20 | 2004-09-23 | Rong-Liang Chiou | Channel estimation in OFDM systems |
US20050135314A1 (en) * | 2003-05-09 | 2005-06-23 | Giannakis Georgios B. | Receiver for chip-interleaved block-spread multi-user communication systems |
US20050032514A1 (en) * | 2003-08-08 | 2005-02-10 | Sadri Ali S. | Apparatus and associated methods to perform intelligent transmit power control with subcarrier puncturing |
US7286609B2 (en) * | 2003-08-08 | 2007-10-23 | Intel Corporation | Adaptive multicarrier wireless communication system, apparatus and associated methods |
US20050031047A1 (en) * | 2003-08-08 | 2005-02-10 | Maltsev Alexander A. | Adaptive multicarrier wireless communication system, apparatus and associated methods |
US7245879B2 (en) * | 2003-08-08 | 2007-07-17 | Intel Corporation | Apparatus and associated methods to perform intelligent transmit power control with subcarrier puncturing |
US20050043033A1 (en) * | 2003-08-18 | 2005-02-24 | Jean-Aicard Fabien | Power allocation method for multicast services |
US20050135295A1 (en) * | 2003-10-15 | 2005-06-23 | Walton Jay R. | High speed media access control and direct link protocol |
US20050094740A1 (en) * | 2003-10-31 | 2005-05-05 | Nokia Corporation | Multiple-antenna partially coherent constellations for multi-carrier systems |
US7173973B2 (en) * | 2003-10-31 | 2007-02-06 | Nokia Corporation | Multiple-antenna partially coherent constellations for multi-carrier systems |
US7181170B2 (en) * | 2003-12-22 | 2007-02-20 | Motorola Inc. | Apparatus and method for adaptive broadcast transmission |
US20050197080A1 (en) * | 2004-03-05 | 2005-09-08 | Fatih Ulupinar | Method and apparatus for receive diversity control in wireless communications |
US20050245278A1 (en) * | 2004-04-29 | 2005-11-03 | Rath Vannithamby | Method and apparatus for forward link power control at non-serving radio sector transmitters |
US20050249159A1 (en) * | 2004-05-07 | 2005-11-10 | Santosh Abraham | Transmission mode and rate selection for a wireless communication system |
US20050286547A1 (en) * | 2004-06-24 | 2005-12-29 | Baum Kevin L | Method and apparatus for accessing a wireless multi-carrier communication system |
US20060135073A1 (en) * | 2004-12-20 | 2006-06-22 | Nagabhushan Kurapati | Signaling bit detection with adaptive threshold |
US20060209721A1 (en) * | 2005-03-15 | 2006-09-21 | Qualcomm Incorporated | Interference control in a wireless communication system |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060281421A1 (en) * | 2005-06-14 | 2006-12-14 | Interdigital Technology Corporation | Method and apparatus for generating feedback information for transmit power control in a multiple-input multiple-output wireless communication system |
US7630732B2 (en) * | 2005-06-14 | 2009-12-08 | Interdigital Technology Corporation | Method and apparatus for generating feedback information for transmit power control in a multiple-input multiple-output wireless communication system |
WO2015023140A1 (en) * | 2013-08-14 | 2015-02-19 | Samsung Electronics Co., Ltd. | Method and apparatus for estimating channel information |
US9954657B2 (en) | 2013-08-14 | 2018-04-24 | Samsung Electronics Co., Ltd. | Method and apparatus for estimating channel information |
Also Published As
Publication number | Publication date |
---|---|
US7489944B2 (en) | 2009-02-10 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US6377819B1 (en) | Wireless communication system using joined transmit and receive processing | |
US7564814B2 (en) | Transmission mode and rate selection for a wireless communication system | |
US7463601B2 (en) | Method and apparatus for scheduling multiple users in a mobile communication system using multiple transmit/receive antennas | |
US7933357B2 (en) | Apparatus and method for transmission and reception in a multi-user MIMO communication system | |
US8165533B2 (en) | Apparatus and method for beamforming based on generalized eigen-analysis in multiple input multiple output wireless communication system | |
US7653142B2 (en) | Channel estimation and spatial processing for TDD MIMO systems | |
EP1540830B9 (en) | System and method for multiple-input multiple-output (mimo) radio communication | |
US7675886B2 (en) | Rate adaptive transmission scheme for MIMO systems | |
CN101854186B (en) | Pre-coding/pre-decoding method and system used for data transmission | |
US20020114269A1 (en) | Channel aware optimal space-time signaling for wireless communication over wideband multipath channels | |
EP1775855A1 (en) | Apparatus and method for transmitting/receiving data in multi-user multi-antenna communication system | |
US20120099469A1 (en) | Methods of transmitting a signal in a time division duplexing mimo system and associated apparatuses | |
US20100266061A1 (en) | Method and device for pre-coding in multiple input multiple output system | |
US8693568B2 (en) | Method and apparatus for estimating channel using dedicated pilot signal in OFDM-based wireless communication system | |
US7792226B2 (en) | Method and apparatus for carrier power and interference-noise estimation in space division multiple access and multiple-input/multiple-output wireless communication systems | |
US20110150117A1 (en) | System for transmitting and receiving channel state information | |
EP2266273B1 (en) | Mimo slow precoding method and apparatus | |
US20040218697A1 (en) | Array processing using an aggregate channel matrix generated using a block code structure | |
US8014360B2 (en) | Apparatus and method for performing sequential scheduling in multiple-input multiple-output system | |
US7489944B2 (en) | Method of allocating power over channels of a communication system | |
US7194286B2 (en) | Method for optimizing the transmit signal in multiple antenna wireless links | |
US7889808B2 (en) | Interpolation based QR decomposition for MIMO-OFDM systems using D-SMC Demodulator with per chunk ordering | |
US8009780B2 (en) | Apparatus and method for generating effective signal to noise ratio (SNR) per stream in multiple-input multiple-output (MIMO) wireless communication system | |
CN103873125A (en) | Downlink signal sending method and downlink signal sending equipment in multiaerial system | |
CN102843176B (en) | Method and device for generating feedback information of terminal in MIMO (Multiple-Input Multiple-Output) system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: LUCENT TECHNOLOGIES INC., NEW JERSEY Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:LOZANO, ANGEL;TULINO, ANTONIA MARIA;VERDU, SERGIO;REEL/FRAME:016661/0363;SIGNING DATES FROM 20050602 TO 20050811 |
|
FEPP | Fee payment procedure |
Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
AS | Assignment |
Owner name: ALCATEL-LUCENT USA INC., NEW JERSEY Free format text: MERGER;ASSIGNOR:LUCENT TECHNOLOGIES INC.;REEL/FRAME:021984/0652 Effective date: 20081101 |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
FPAY | Fee payment |
Year of fee payment: 4 |
|
AS | Assignment |
Owner name: CREDIT SUISSE AG, NEW YORK Free format text: SECURITY INTEREST;ASSIGNOR:ALCATEL-LUCENT USA INC.;REEL/FRAME:030510/0627 Effective date: 20130130 |
|
AS | Assignment |
Owner name: ALCATEL-LUCENT USA INC., NEW JERSEY Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CREDIT SUISSE AG;REEL/FRAME:033950/0261 Effective date: 20140819 |
|
FPAY | Fee payment |
Year of fee payment: 8 |
|
MAFP | Maintenance fee payment |
Free format text: PAYMENT OF MAINTENANCE FEE, 12TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1553); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Year of fee payment: 12 |